Kettlewell, N, Morris, RW, Ho, N, Cobb-Clark, DA, Cripps, S & Glozier, N 2020, 'The differential impact of major life events on cognitive and affective wellbeing', SSM - Population Health, vol. 10.View/Download from: Publisher's site
© 2019 The Authors Major life events affect our wellbeing. However the comparative impact of different events, which often co-occur, has not been systematically evaluated, or studies assumed that the impacts are equivalent in both amplitude and duration, that different wellbeing domains are equally affected, and that individuals exhibit hedonic adaptation. We evaluated the individual and conditional impact of eighteen major life-events, and compared their effects on affective and cognitive wellbeing in a large population-based cohort using fixed-effect regression models assessing within person change. Several commonly cited events had little, if any, independent effect on wellbeing (promotion, being fired, friends passing), whilst others had profound impacts regardless of co-occurring events (e.g., financial loss, death of partner, childbirth). No life events had overall positive effects on both types of wellbeing, but separation, injury/illnesses and monetary losses caused negative impacts on both, which did not display hedonic adaptation. Affective hedonic adaptation to all positive events occurred by two years but monetary gains and retirement had ongoing benefits on cognitive wellbeing. Marriage, retirement and childbirth had positive effects on cognitive wellbeing but no overall effect on affective wellbeing, whilst moving home was associated with a negative effect on cognitive wellbeing but no affective wellbeing response. Describing the independent impact of different life events, and, for some, the differential affective and life satisfaction responses, and lack of hedonic adaptation people display, may help clinicians, economists and policy-makers, but individual's hopes for happiness from positive events appears misplaced.
© 2019 Elsevier B.V. Using a panel of Australians I estimate the dynamic relationship between common life events and risk preferences. Changes in financial circumstances, parenthood and family loss predict changes in risk preferences. Importantly the effects are largest closer to the event date and disappear over time. This supports a model of preference formation where risk preferences are (trend)stable but fluctuations are at least partly deterministic. The linkages between life events and risk preferences are explored. There is little evidence that changes in consumption, state dependence, or changes in mental health and mood explain the results. However, emotional stability is an influential moderator suggesting that emotions play an important role.
Kettlewell, N & Yerokhin, O 2019, 'Area-specific subsidies and population dynamics: Evidence from the Australian zone tax offset', PAPERS IN REGIONAL SCIENCE, vol. 98, no. 1, pp. 451-+.View/Download from: Publisher's site
Doiron, D & Kettlewell, N 2018, 'The Effect of Health Insurance on the Substitution between Public and Private Hospital Care', ECONOMIC RECORD, vol. 94, no. 305, pp. 135-154.View/Download from: Publisher's site
Kettlewell, N, Stavrunova, O & Yerokhin, O 2018, 'Premium subsidies and demand for private health insurance: results from a regression discontinuity design', Applied Economics Letters, vol. 25, no. 2, pp. 96-101.View/Download from: Publisher's site
© 2017 Informa UK Limited, trading as Taylor & Francis Group. This article investigates the impact of a private health insurance (PHI) subsidy on the demand for PHI in the context of the Australian health care system. In particular, we focus on the subpopulation of elderly Australians and exploit discontinuous increases to the universal 'PHI rebate' that occur when people turn 65 and 70 years. Using a regression discontinuity design, we find the policy has little effect on take-up of PHI and is best interpreted as a wealth transfer to elderly Australians who already have insurance.
Kettlewell, N 2010, 'The impact of rural to urban migration on wellbeing in Australia', The Australasian Journal of Regional Studies, vol. 16, no. 3, pp. 187-187.
In this paper the wellbeing outcomes of rural to urban movers in Australia are studied. This is done using regression techniques to control for observable and unobservable factors that may influence outcomes. Data from the Households, Income and Labour Dynamics in Australia survey is used. It is found that males do not experience any change in wellbeing due to moving, while females experience a 7 per cent increase after 2-3 years. Implications of both economic and psychological theories are discussed in relation to the likely effect of moving upon wellbeing. It is argued that the findings here justify further research into rural wellbeing with a focus on gender specific outcomes.